Expanded and Filtered Features Based ELM Model for Thyroid Disease Classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09823-7.pdf
Reference47 articles.
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3. Maysanjaya, I. M. D., Nugroho, H. A., & Setiawan, N. A. (2015). A comparison of classification methods on diagnosis of thyroid diseases. In International seminar on intelligent technology and its applications (ISITIA), Surabaya (pp. 89–92).
4. Chang, C. Y., Tsai, M. F., & Chen, S. J. (2008). Classification of the thyroid nodules using support vector machines. In IEEE international joint conference on neural networks (IEEE world congress on computational intelligence), Hong Kong (pp. 3093–3098).
5. Qureshi, M. A., & Eksioglu, K. (2017). Expert advice ensemble for thyroid disease diagnosis. In 25th signal processing and communications applications conference (SIU), Antalya (pp. 1–4).
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